         model (net/train model optimizer loss x-data y-data 10 1)
         mse (net/evaluate-mse model x-data y-data)]
     (is (< mse 1))))
-
-
 
 
 ; Data from: Dominick Salvator and Derrick Reagle

        network (net/train net optimizer loss-fn training-data training-labels batch-size n-epochs)
        score-percent (net/evaluate net training-data training-labels)]
    (is (< (abs-diff score-percent 1.0) 0.001))))


(deftest linear-model-test
  "Define a random dataset and create the labels from some fixed parameters so we know exactly

              [(layers/linear-layer 2 3)
               (layers/logistic [3])
               (layers/linear-layer 3 1)])
        training-data XOR-DATA
        training-labels XOR-LABELS
        n-epochs 1000
